NatarajanLalgudi
Consumer Researcher turned Data Science and ML Nerd. Passionate about all things Modeling and Kaggle related. Classical ML, NLP and now discovering CV.
Marketing Mix InterventionsBengaluru, Karnataka, India
Pinned Repositories
100-days-of-deep-learning
Code repo of my YouTube course on Deep Learning
Advanced-Predictive-Techniques-with-Scikit-Learn-and-TensorFlow
anaconda-issues
Anaconda issue tracking
ARIMA_dataset
Dataset for ARIMA forecasting
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
C50
:exclamation: This is a read-only mirror of the CRAN R package repository. C50 — C5.0 Decision Trees and Rule-Based Models. Homepage: https://topepo.github.io/C5.0 Report bugs for this package: https://github.com/topepo/C5.0/issues
CampusX_MLOPs
Repository for MLOPs Course by CampusX
machine_learning_examples
A collection of machine learning examples and tutorials.
ProjectEuler_Solutions
Solutions for problems on www.projecteuler.net
twitter_sentiment_analysis_word2vec_convnet
Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network
NatarajanLalgudi's Repositories
NatarajanLalgudi/Advanced-Predictive-Techniques-with-Scikit-Learn-and-TensorFlow
NatarajanLalgudi/machine_learning_examples
A collection of machine learning examples and tutorials.
NatarajanLalgudi/ProjectEuler_Solutions
Solutions for problems on www.projecteuler.net
NatarajanLalgudi/100-days-of-deep-learning
Code repo of my YouTube course on Deep Learning
NatarajanLalgudi/ARIMA_dataset
Dataset for ARIMA forecasting
NatarajanLalgudi/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
NatarajanLalgudi/CampusX_MLOPs
Repository for MLOPs Course by CampusX
NatarajanLalgudi/cms-maker
Given a URL, parse the content at that URL and generate a reference in Chicago Manual of Style (CMS) format.
NatarajanLalgudi/course-nlp
A Code-First Introduction to NLP course
NatarajanLalgudi/docker-python
Kaggle Python docker image
NatarajanLalgudi/DogBreedIdentification
https://www.kaggle.com/competitions/dog-breed-identification/
NatarajanLalgudi/educate-resource-for-machine-learning
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
NatarajanLalgudi/End-to-End-Time-Series
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
NatarajanLalgudi/GitHubAssignment
Repository for MLOPs Course Assignment by CampusX
NatarajanLalgudi/Hackathon-WK16
AV and MH Hackathons
NatarajanLalgudi/Hackathons
NatarajanLalgudi/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
NatarajanLalgudi/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
NatarajanLalgudi/Image-Segmentation
Repo for various image segmentation projects
NatarajanLalgudi/KidneyDiseaseClassification
End to End Project using Deep Learning
NatarajanLalgudi/Machine-Learning-Algorithms-Second-Edition
Machine Learning Algorithms Second Edition, published by Packt
NatarajanLalgudi/machine-learning-example-
Machine Learning in CyberSecurity - Intrusion Detection examples - DataSet and Training Scripts
NatarajanLalgudi/mlops-with-aws-datascientists
NatarajanLalgudi/MLOPs_CampusX
Repository for MLOPs Course by CampusX
NatarajanLalgudi/pdfs
PDF Collection
NatarajanLalgudi/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
NatarajanLalgudi/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
NatarajanLalgudi/Red-Wine-Quality
Red Wine quality classification Model
NatarajanLalgudi/test-repo
This is a test repo for learning purpose.
NatarajanLalgudi/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.